Background/purpose: This research is motivated by the difficulties often experienced by students in adapting to their first year of college, especially related to learning calculus. To address these difficulties, a solution needs to be found so that these problems can be resolved. One solution that is expected to yield optimal results in…

Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…

Mathematical proof, often regarded as the heart of mathematics, is essential for interconnected mathematical knowledge. However, proof-writing skills do not develop inherently. Effective learning environments are vital for university students to enhance these skills. This study investigates the impact of the ISMAT model on pre-service teachers'…

Given the popularization of artificial intelligence in education, this study explores this technology's effects on emergent bilinguals' writing and revision. Large Language Models have become prevalent as supports for teachers and students in revising. Yet, research has not examined the intricacies of using these tools with emergent bilinguals.…

Computer-supported collaborative learning (CSCL) is considered an effective strategy for knowledge construction, and research on CSCL in cross-cultural contexts is of great significance for improving the knowledge construction and learning outcomes in minority regions. This study focuses on the relationship between thinking styles and role…

Generative Artificial Intelligence (GenAI) is a transformative technology in education, especially in lesson planning (LP). This research examines pre-service teachers' (PSTs) perceptions of GenAI benefits and ethical risks in LP, with consideration for the Technology Acceptance Model (TAM). The findings show that PSTs are generally cognizant of…

This paper quantifies learning losses between 2020 and 2022 in the Dominican Republic, an upper-middle-income country. The paper uses data from a sample of ninth-grade students who benefited from computer adaptive learning software during this period. This study is among a few to measure actual losses among secondary school students, and it is the…

Although e-learning is considered one of the leading teaching methods in higher education, both learners and instructors face significant challenges owing to reduced social interaction compared with traditional classroom learning. In this study, we explore the leveraging of recent developments in generative artificial intelligence (AI) and create…

This paper examines mobile cyberloafing, i.e. the use of phones for non-study purposes among Gen Z students, the first generation of digital natives. Drawing from research on misbehaviour and cyberloafing, we developed and tested a model with moral disengagement and subjective norms as predictors and psychological detachment and cognitive…

Lissajous figures are parametric equations that deconstruct into equations of simple harmonic motion. They were a source of inspiration by artists and mathematicians alike, well before the digital age, due to their esthetic forms and simple equations that could be easily deconstructed. Here for the first time in literature, we present Lissajous…

Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…

Previously defined profiles for using a computer algebra system (CAS) describe prototypical uses of such a tool. When students use a dynamic geometry environment (DGE), however, new opportunities arise for transitions within and beyond the DGE. In this article, CAS profiles are used to explore students' uses of a DGE. Four cases of students, all…

The research examined the spread of internet addiction among tertiary institution students in Osun State and examine the connection between social anxiety and internet addiction. The research used descriptive survey research methodology. A sample of 1,430 students were picked to be involved in the research using multistage sampling methodology.…

Using a convergent parallel mixed methods design, the present study examined children's screen time and social behaviors through parents' perceptions. The participants were 113 children and their parents for the quantitative strand and 42 randomly selected parents for the qualitative strand of the study. Parents reported on children's social…

This article addresses the considerations on what they term "digitally supported elementary disciplinary literacy" in elementary grade (K-5) instruction. In doing so, the authors focus on the particularities of elementary instruction and what disciplinary literacy might look like in those grade levels, with a particular emphasis on…